Module 1: Basic introduction to SPSS.
Creating
and importing data
Module 2: Graphing.
IDA
graphing and frequency charts
Module 3: Getting Descriptive Statistics.
Descriptive
statistics and the
Explore Function Module 4: Recoding an item.
Recode Sex (from 1 =
Female, 2 = Male into 0 = Female, 1 = Male)
Recode
Recall 1 using quartiles.
Recode a
5point Likert response scale if it is reverse coded to begin with

SPSS
User
Manuals in
Adobe.pdf (Last updated July 12, 2012).
SPSS Home
Don't want to pay for SPSS? Then get
PSPP for free!! PSPP is
extremely similar to SPSS; but free!
Research and Statistical Support statistical resources
workshop
Fairly comprehensive comparison of just about all statistical software packages:
Wiki
An esteemed former colleague's
collection of materials
for the courses he taught.
Need to calculate apriori power/sample size? Check out
Gpower
(it's free).
Link which will allows SPSS users to download the
Legacy Viewer for viewing older SPSS files.

Module 5: Compute (simple)
Create an average of
Recall 1 and Recall 2
Use the Compute Function to recode a Likert response scale item
Use Compute to create a total score of multiple variables.
Module 6: Replace Missing Values
Multiple Imputation using a version of the EM algorithm
Module 7: Select cases (create a
filter variable).
Select only sophomores
in 'ExampleData002.sav'
Module 8: Merge data files.
Add ‘ExampleData002.sav’
to ‘ExampleData001.sav’ to
add cases
Merge 'ex3reverse.sav' and 'ex3r2.sav' to
add new or additional variables
Restructure data from Long format to Wide format
ExampleData001.sav
ExampleData002.sav
ex3reverse.sav
ex3r2.sav 
Module 9: Testing Mean Differences
The
t tests and
an associated graph.
General comments
& 1 regression with scatterplot and 1 oneway ANOVA w/graphs
More detailed examination of
ANOVA techniques.
Module 10: Regression
Detailed examination of
ordinary least squares (OLS) linear regression (1)
(2)
(3)
An example of
Canonical Correlation
Syntax example of
Simple Slopes Analysis  testing moderation with OLS regression.
Syntax example
Testing Mediation w/ Aroian test and OLS regression (w/
this data).
Categorical Regression with
Optimal Scaling; and a
Better Second Example
Logistic Regression:
Binary or Binomial and
Multinomial
Module 11: Variable Reduction & Structure
Traditional
Principal Components Analysis
Categorical Principal Components
Analysis with optimal scaling
Factor Analysis with Maximum Likelihood extraction
Internal Consistency
Analysis
Correspondence Analysis:
2 variable example
Exploration of
Linear Mixed Models (i.e. Hierarchical Linear Modeling).
